code: def from_config(
      cls,
      config,
      metadata: Optional[FieldMeta] = None,
      labels: Optional[Iterable[str]] = None,
      is_kd: bool = False,
  ):
      return cls(
          loss_fn=create_loss(config.loss, ignore_index=-100),
          ignore_impossible=config.ignore_impossible,
          pos_loss_weight=config.pos_loss_weight,
          has_answer_loss_weight=config.has_answer_loss_weight,
          has_answer_labels=labels,
          false_label=config.false_label,
          max_answer_len=config.max_answer_len,
          hard_weight=config.hard_weight,
          use_zero_answer=config.use_zero_answer,
          is_kd=is_kd,
      )
  
file_path: pytext/pytext/models/output_layers/squad_output_layer.py
imports: from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
  import torch
  import torch.nn.functional
  from pytext.config.component import create_loss
  from pytext.fields import FieldMeta
  from pytext.loss import BinaryFocalLoss, CrossEntropyLoss, FocalLoss, KLDivergenceCELoss, Loss
  from pytext.models.output_layers import OutputLayerBase
  from pytext.utils.usage import log_class_usage
label_desc: Use image node_id 1 for calling the SquadOutputLayer obj's underlying member method code with example usage: obj.from_config(cls, config, metadata, labels, is_kd) and returns: cls